Senior Data Engineer (Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 9, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure #Data Lake #Datadog #Data Lakehouse #GIT #Automation #AWS (Amazon Web Services) #Spark (Apache Spark) #ML (Machine Learning) #Prometheus #Scala #Data Modeling #Delta Lake #Python #Big Data #REST API #Databricks #MLflow #GCP (Google Cloud Platform) #Cloud #API (Application Programming Interface) #Airflow #"ETL (Extract #Transform #Load)" #Version Control #REST (Representational State Transfer) #Monitoring #Data Engineering
Role description
One of my clients is looking for a Senior Data Engineer (Databricks) - USA (Remote) for a contract role.
Any visa fine: US Citizen, Green Card, H4 EAD, L2 EAD.
❌ No H1-B visa holders at this time.
W2 only – No C2C / No third party.
Please note: Travel to the client location (NY/NJ) is required 2–3 days per month, and all expenses will be covered by the client.
Required Skills & Qualifications:
● 10+ years in data engineering with strong exposure to Databricks and big data tools.
● Proficient in Python or Scala for ETL development.
● Strong understanding of Spark, Delta Lake, and Databricks SQL.
● Familiar with REST APIs, including Databricks REST API usage.
● Cloud Platform: Experience with AWS, Azure, or GCP.
● Data Modeling: Familiarity with data lakehouse concepts and dimensional modeling.
● Version Control & CI/CD: Comfortable using Git and pipeline automation tools.
● Soft Skills: Strong problem-solving abilities, attention to detail, and teamwork.
Nice to Have:
● Certifications: Databricks Certified Data Engineer Associate/Professional.
● Workflow Tools: Experience with Airflow or Databricks Workflows.
● Monitoring: Familiarity with Datadog, Prometheus, or similar tools.
● ML Pipelines: Exposure to MLflow or model integration in pipelines.
If interested, please share your updated resume.
One of my clients is looking for a Senior Data Engineer (Databricks) - USA (Remote) for a contract role.
Any visa fine: US Citizen, Green Card, H4 EAD, L2 EAD.
❌ No H1-B visa holders at this time.
W2 only – No C2C / No third party.
Please note: Travel to the client location (NY/NJ) is required 2–3 days per month, and all expenses will be covered by the client.
Required Skills & Qualifications:
● 10+ years in data engineering with strong exposure to Databricks and big data tools.
● Proficient in Python or Scala for ETL development.
● Strong understanding of Spark, Delta Lake, and Databricks SQL.
● Familiar with REST APIs, including Databricks REST API usage.
● Cloud Platform: Experience with AWS, Azure, or GCP.
● Data Modeling: Familiarity with data lakehouse concepts and dimensional modeling.
● Version Control & CI/CD: Comfortable using Git and pipeline automation tools.
● Soft Skills: Strong problem-solving abilities, attention to detail, and teamwork.
Nice to Have:
● Certifications: Databricks Certified Data Engineer Associate/Professional.
● Workflow Tools: Experience with Airflow or Databricks Workflows.
● Monitoring: Familiarity with Datadog, Prometheus, or similar tools.
● ML Pipelines: Exposure to MLflow or model integration in pipelines.
If interested, please share your updated resume.
